GOKU-2M

Goku: A Million-Scale Universal Dataset and Benchmark for Instruction-Based Video Editing GOKU-2M is a large-scale, unified instruction-based video-editing dataset covering 10 editing tasks. Each sample provides a source video, an edited target video, and one or more natural-language instructions describing the edit. 📦 Repositories ⚠️ Because a single Hugging Face account has a free storage quota of about 8.7 TB, the dataset is split across two… See the full description on the dataset page:

Source: Hugging Face Hub (bigfacing/GOKU-2M). Metadata imported from the dataset’s Hub tags.